Data Migration
Reliable data in the new destination: we migrate without losing integrity, without stopping the operation, and with a quality exceeding 90%.
Systems and platforms
We migrate data from and to the main systems of the market, ensuring integrity, quality, and operational continuity at every stage.
What risks does your migration pose?
With the wrong approach:
Incorrect data in the new system due to incompatible formats and rules between the source and destination
Migration Out of time and cost due to a lack of methodology and controls from the beginning
Department of provider for cleaning and validation data that cannot be reused in the process
Loss of Historical data due to a lack of strategy to preserve them
Risk of Operational continuity when go-live occurs with data that has not been validated
With the right approach:
Standardized and homologated data with Superior quality of 90% before loading into the new system
Guaranteed operational continuity with EDQTL controlled process and validated at every stage
Implementation on time and in the right way With proven methodology that reduces risk from the diagnosis
Preserved historical buildings Historical Data Lake without the need to maintain the previous system
Process Reusable without dependency with documented components for multiple executions
We turn your migration into a safe and controlled transition
DATA PROFILING AND DIAGNOSIS
We identify anomalous data, inconsistencies, and risks before starting any migration process.
CLEANING AND STANDARDIZATION
We apply Data Quality and transformations to homologate the data to the requirements of the destination system.
VALIDATION AGAINST BUSINESS RULES
LOAD AND GO-CONTROLLED
Preservation of historical records
We created historical Data Lakes so that you don't need to maintain the previous system or lose key information.
Migration without methodology can cost more than the entire project. The EDQTL process converts historical data into a reliable asset within the new system.
WHAT WE DO
(in the order that really matters)
1. Data profiling and pre-migration diagnosis
- Data Profiling
We identified anomalous, duplicate data, blank fields, and inconsistent records in the source systems before starting the migration. - Migration risk assessment
We mapped out the critical risks: incompatible formats, different business rules, complex volumes, and we defined the mitigation strategy. - Total or partial migration plan
We determine whether a total migration, partial migration with historical Data Lake, or a combined strategy is appropriate based on the project objectives.
90%+
Data quality is achieved in critical migrations when the EDQTL methodology is applied with prior diagnosis and automatic controls.
Real case Intus / Scanda Group
Success story: A global transactional services company was migrating to a new core system for LatAm. We performed diagnostics, cleaning, and validation of millions of records before the load.
Results: Early identification of critical risks and a database ready for go-live without affecting operational continuity.
2. Data Quality, Transformation and Enrichment
➤ We clean, standardize, and enrich the source data so that it arrives in the new system in optimal conditions, complying with the destination’s business rules.
- Cleaning and standardization
We eliminated duplicates, corrected inconsistencies, and standardized formats to align the data with the rules of the destination system. - Data Enrichment
We enrich records with internal and external sources to maintain consistency and completeness in the new system from day one. - Validation against business rules
We verify that the transformed data complies with all the rules of the destination system before the final upload.
Success story: A global company couldn't clean up millions of records with its internal team. We run a quality factory with automated rules and reusable components.
Results: Achieved 90% qualitycost-optimized on-demand model and multiple runs without vendor lock-in
90%
Quality achieved in critical data during the migration process using the EDQTL methodology and reusable components of automated cleaning.
Real case Intus / Scanda Group
3. Validized load, go-live, and preservation of historical data
➤ We perform the load with continuous monitoring, a rollback plan, and final validations — and preserve historical data in a Data Lake so you don't lose access to your previous information.
- Controlled load to the destination system
We execute the EDQTL process with real-time monitoring and final validations before go-live. - Rollback plan and operational continuity
We have defined contingency protocols to ensure that the operation does not stop if any errors occur during the transition. - Historical Data Lake
We created a historical data repository in the cloud so that you don't need to maintain the previous system, reducing infrastructure costs and licensing.
30%
Reduction of operational risk in migration projects when a structured methodology with pre-diagnostic, quality, and validation is applied.
Gartner – Data Migration Best Practices
Success story: An organization with multiple countries was migrating to a new ERP and needed to ensure data integrity during the transition without affecting daily operations.
Results: Guaranteed operational continuity during the transition and as a reliable database as a starting point for subsequent analytical initiatives.
HOW DO WE DO IT?
- Data Profiling
Identification of anomalous data, inconsistencies, and risks at the source before initiating the migration. - Data Quality & Enrichment
Cleaning, standardization, and enrichment of data to comply with the rules of the destination system. - Validation against business rules
Verifying that the transformed data is ready for loading without generating errors in the new system. - Loading and Go-Live controlled
Monitored load with rollback plan, final validations, and support during the transition.
We do this so that your Migration should be a safe transition, With reliable data from day one and without jeopardizing the operation of the business.
RESULTS
that speak for themselves
Organizations that apply structured methodology in their migrations reduce operational risk by up to 30% and achieve data quality exceeding 90% from go-live. Gartner, real cases Intus
%
Quality achieved in critical data migrated
%
risk reduction in migration projects
%
reduction of reprocesses with the EDQTL methodology
%
timely and proper implementation with methodology
Why us?
At Grupo Scanda, we perform critical migrations using proven methodology. We do not load data without validating it: we apply diagnosis, cleaning, validation and controlled loading to ensure integrity and operational continuity.
Proven experience:
Migrations of CRM, ERP and databases in SAP, Salesforce, Dynamics 365, Oracle and cloud platforms in multiple industries and countries.
EDQTL Methodology:
Extraction, Data Quality, Transformation & Loading: a structured process that guarantees superior quality of 90% and reduces the risk of errors post go-live.
Without stopping the operation:
We design migration plans with operational continuity, controlled rollback, and validations at each stage to protect the business during the transition.
Reusable components:
We deliver a documented, reusable quality factory so that you don't depend on the supplier for future executions or subsequent corrections.
Ready to boost your business?
We have the solution for youContact by telephone
(55) 1251-2700
Location Mexico City
Miguel Laurent #804, Col. Letrán Valle, Alc. Benito Juárez
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